Data Scientist Visa Sponsorship Jobs in Maryland
Data scientist roles in Maryland are concentrated around the Baltimore-Washington corridor, with major employers including Johns Hopkins, Leidos, Booz Allen Hamilton, and federal contractors in Bethesda and Silver Spring. The state's strong presence in biotech, cybersecurity, and defense analytics makes it one of the more active markets for data scientist visa sponsorship on the East Coast.
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Get Access To All JobsINTRODUCTION
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
POSITION OVERVIEW
The Data Scientist Fellow will develop computational models to predict and optimize organoid growth and differentiation protocols in support of the SOM Center. The incumbent will apply advanced machine learning techniques to organoid standardization and contribute to the development of predictive models for tissue engineering applications.
KEY RESPONSIBILITIES
- Model development. Design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
- In silico simulation. Develop in silico models that correspond to organoid growth, maturation, and characterize phenotype while identifying optimal conditions for reproducible organoid generation.
- Feedback systems. Establish feedback loops between experimental validation and computational prediction in order to iteratively refine and understand protocol standardization.
- Interdisciplinary collaboration. Work with experimental teams to design characterization and validation experiments and with bioinformatics scientists to integrate multi-modal datasets.
REQUIRED QUALIFICATIONS
- Education. Doctoral degree (PhD) in computer science, engineering, applied mathematics, or a related field, with demonstrated experience in AI/ML model development.
- Programming. Strong programming proficiency in Python, R, or comparable languages, together with experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Applied experience. Prior experience applying computational methods in biological laboratory settings, including working knowledge of experimental design principles and biological data types.
PREFERRED QUALIFICATIONS
- Experience with organoid systems or tissue engineering applications.
- Knowledge of differential equations and systems biology modeling, and experience with deep learning approaches for biological applications.
- Familiarity with cloud computing platforms and containerization technologies.
DISCLAIMER:
The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.
Salary Range: $90,000 USD - $100,000 USD
INTRODUCTION
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
- 100% Medical, Dental & Vision Coverage for Employees
- Paid Time Off and Paid Holidays
- 401K match up to 5%
- Educational Benefits for Career Growth
- Employee Referral Bonus
- Flexible Spending Accounts:
- Healthcare (FSA)
- Parking Reimbursement Account (PRK)
- Dependent Care Assistant Program (DCAP)
- Transportation Reimbursement Account (TRN)
POSITION OVERVIEW
The Data Scientist Fellow will develop computational models to predict and optimize organoid growth and differentiation protocols in support of the SOM Center. The incumbent will apply advanced machine learning techniques to organoid standardization and contribute to the development of predictive models for tissue engineering applications.
KEY RESPONSIBILITIES
- Model development. Design and implement machine learning models that predict organoid development outcomes based on protocol parameters, environmental conditions, and molecular characterization data.
- In silico simulation. Develop in silico models that correspond to organoid growth, maturation, and characterize phenotype while identifying optimal conditions for reproducible organoid generation.
- Feedback systems. Establish feedback loops between experimental validation and computational prediction in order to iteratively refine and understand protocol standardization.
- Interdisciplinary collaboration. Work with experimental teams to design characterization and validation experiments and with bioinformatics scientists to integrate multi-modal datasets.
REQUIRED QUALIFICATIONS
- Education. Doctoral degree (PhD) in computer science, engineering, applied mathematics, or a related field, with demonstrated experience in AI/ML model development.
- Programming. Strong programming proficiency in Python, R, or comparable languages, together with experience using machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn.
- Applied experience. Prior experience applying computational methods in biological laboratory settings, including working knowledge of experimental design principles and biological data types.
PREFERRED QUALIFICATIONS
- Experience with organoid systems or tissue engineering applications.
- Knowledge of differential equations and systems biology modeling, and experience with deep learning approaches for biological applications.
- Familiarity with cloud computing platforms and containerization technologies.
DISCLAIMER:
The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed. The diversity of Axle’s employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location.
Salary Range: $90,000 USD - $100,000 USD
Data Scientist Job Roles in Maryland
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Search Data Scientist Jobs in MarylandData Scientist Jobs in Maryland: Frequently Asked Questions
Which companies sponsor visas for data scientists in Maryland?
Federal contractors and defense firms are among the most active sponsors for data scientists in Maryland. Companies like Booz Allen Hamilton, Leidos, SAIC, and Northrop Grumman regularly hire data scientists and have established sponsorship programs. Johns Hopkins University and its affiliated health system also sponsor data science roles, as do biotech firms clustered around the I-270 technology corridor in Rockville and Gaithersburg.
Which visa types are most common for data scientist roles in Maryland?
The H-1B visa is the most common visa for data scientists in Maryland, as the role consistently qualifies as a specialty occupation requiring at least a bachelor's degree in a directly related field such as computer science, statistics, or applied mathematics. Some positions at universities or nonprofit research institutions may qualify for cap-exempt H-1B petitions. Applicants with advanced degrees may also explore the EB-2 or EB-2 NIW pathways for permanent residence.
Which cities in Maryland have the most data scientist sponsorship jobs?
The Baltimore metropolitan area and the Maryland suburbs of Washington, D.C. account for the majority of data scientist sponsorship activity in the state. Bethesda, Rockville, Silver Spring, and Gaithersburg are particularly active due to their concentration of federal agencies, contractors, and life sciences companies. Baltimore itself anchors a secondary hub anchored by Johns Hopkins, University of Maryland Medical System, and a growing tech sector.
How to find data scientist visa sponsorship jobs in Maryland?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to browse data scientist openings in Maryland without sorting through roles that don't offer sponsorship. You can filter by location and role to surface positions from Maryland employers who have a demonstrated history of sponsoring international candidates, including contractors, research institutions, and biotech firms across the Baltimore-Washington corridor.
Are there state-specific considerations for data scientists pursuing visa sponsorship in Maryland?
Maryland's high concentration of federal contractors introduces one important consideration: many data scientist roles require security clearances, which are generally unavailable to non-U.S. citizens and permanent residents. This narrows the sponsorship-eligible pool to roles at commercial, academic, and non-cleared government contractor positions. On the positive side, the state's biotech corridor and research universities create consistent demand for data scientists in fields where sponsorship is more accessible.
What is the prevailing wage for sponsored data scientist jobs in Maryland?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.